Bas is een gepassioneerd professional met een sterke toewijding om klanten te helpen hun digitale dromen te realiseren. In een snel veranderende, steeds meer digitale wereld hebben we een mensgerichte benadering van transformatie nodig, radicale waarheid en transparantie staat hierbij hoog in het vaandel.
Meer over de auteursData Management courseware based on CDMP Fundamentals
Paperback Engels 2024 1e druk 9789401811491Samenvatting
Besides the courseware publication, you are advised to obtain the DAMA DMBOK publication . Optionally, you can use the publication Data management: a gentle introduction as inspiration for examples and quotes about the field of data management.
This material is intended to prepare participants for the CDMP exam by DAMA International. The courseware can only be ordered by partners and is based on the current version of the DAMA DMBOK. The material will be updated when new versions of DMBOK are published.
DAMA DMBOK is the industry reference for data management. It is published by DAMA International and is currently in its second version. The DMBOK is developed by professionals and can be seen as a collection of best practices. The domain of data management is divided into functional areas which are discussed in terms of definitions (what is it), goals (what are we trying to achieve), steps (what are typical activities), inputs/outputs, and participating roles.
Developing and sustaining an effective data management function is far from an easy task. The DMBOK framework is adopted by many organizations as the foundation for their data management function: standardized language and good practices speed up the learning process. After the training, you have an overview of the field of data management, its terminology, and current best practices.
Specificaties
Lezersrecensies
Inhoudsopgave
Agenda 10
Data Management 1 11 83
Data(Management) strategy 11 20 95
Data Governance 15 22 99
Governance vs. Management 17 26 101
KPI dashboard 22 30 107
Data Architecture 27 36 113
Architecture 29 38 115
Architecture scope 30 39 116
Frameworks 31 40 117
Enterprise data model 32 41 118
Data in motion & data at rest 33 42 119
Exercise: Data Governance & Data Architecture 34 43 120
Data Modeling & Design 40 49 126
Business drivers 42 51 128
Abstraction levels of data modeling 43 52 129
Languages & schemas 45 55 132
Tools & techniques 47 56 134
Data Storage & Operations 53 62 140
DBA monitoring 55 65 142
Data Security 65 71 152
Data Integration & Interoperability 78 86 168
Virtualization 82 90 172
Document & Content Management 90 98 180
Reference & Master Data Management 98 106 189
Reference Data 100 108 191
Master Data 101 109 192
In Practice 103 112 194
Data Warehousing & BI 109 118 200
Business intelligence 111 120 202
Data Warehouse Architectures 112 122 204
Metadata Management 118 131 212
Types of metadata 120 133 214
Relationship with models 121 134 215
Metadata sources and repositories 122 135 216
Metadata architecture 123 136 217
Data Quality Management 131 144 226
Quality Dimensions 134 147 230
Process in practice 137 148 233
DQ Monitor 138 150 235
Exam 143 155 240
Practice Exams Info 160 248
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan